Data Scientist

Leidos • Chantilly, VA

11d

About The Position

Leidos is seeking a Data Scientist to support national security customers by developing, deploying, and sustaining data-driven analytic solutions in classified environments. This role is suited for a strong individual contributor who applies data science methods to real-world mission problems while collaborating with subject matter experts and multidisciplinary technical teams. The Data Scientist will contribute across the full analytics lifecycle, including data ingestion, exploration, modeling, visualization, deployment, and ongoing operations and maintenance (O&M).

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field with 12+ years of relevant experience, or Master’s degree with 10+ years of relevant experience
• Demonstrated experience applying data science or analytics techniques to mission-relevant problems
• Proficiency in Python and/or R, including common data science libraries
• Experience working with databases and data query languages such as SQL
• Ability to communicate analytic results to both technical and non-technical audiences
• Must hold an active TS/SCI clearance with Polygraph

Nice To Haves

• Experience supporting intelligence community, defense, or national security customers
• Familiarity with machine learning, predictive analytics, or natural language processing
• Experience with data visualization tools and techniques
• Exposure to big data or cloud-based analytics environments
• Strong analytical curiosity and problem-solving skills
• Experience providing instruction, instructional design, or curriculum development

Responsibilities

• Collaborate with government customers, analysts, engineers, and subject matter experts to understand mission needs and analytic objectives
• Assist in translating customer problems into data science tasks and project requirements
• Perform exploratory data analysis on structured and unstructured datasets
• Develop and apply statistical models, machine learning algorithms, and analytic workflows
• Create visualizations, reports, and briefings that clearly communicate analytic findings and insights
• Support deployment, monitoring, and operations and maintenance (O&M) of analytic solutions
• Document analytic methods, assumptions, and results in accordance with program and customer standards
• Work collaboratively within an integrated, multidisciplinary team environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees